ENGIN204B

We begin by surveying the electricity grid landscape: smart metering, renewables, flexible loads, electric vehicles, storage, and innovative tariffs.. We introduce energy economics with a focus on electricity markets, consumer and producer behavior. We then analyze the problems that deep renewable integration poses for grid operations and reliability. We explore demand response from distributed resources to enable cost-effective renewable integration. Tomorrow’s grid will have an intelligent periphery. We will explore the architectural and algorithmic components for managing this intelligent periphery for flexible load management. "We then describe a vision for Grid2050 where electricity delivery evolves into interconnected micro-grids."

Course is not repeatable for credit.

1. Basic complex arithmetic: rectangular and polar coordinates, magnitude, phase, products, ratios. Drawn from any high-school course on complex arithmetic.
2. Basic linear algebra: matrices, vectors, linear equations, inverses, determinants. For example: EECS16A or Math 54.
3. Basic electric circuits: voltage, current, Kirchoff’s current and voltage laws, solving resistive circuits, power, inductors and capacitors. For example: EECS16A or ME 100.